Schedule
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Paper sessions (4 presentations each) |
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Special sessions (poster slam, industry sessions, keynotes) |
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Workshops, doctoral symposium, tutorials |
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Poster and Demo Presentations |
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Social events |
Details
Paper session: Multi-Objective Recommendation and Human Factors
Monday, September 10, 14:30 - 16:00
- Mario Rodriguez, Christian Posse and Ethan Zhang. Multiple Objective Optimization in Recommendation Systems
- Marco Tulio Ribeiro, Anisio Lacerda, Adriano Veloso and Nivio Ziviani. Pareto-Efficient Hybridization for Multi-Objective Recommender Systems
- Paolo Cremonesi, Franca Garzotto and Roberto Turrin. User Effort vs. Accuracy in Rating-based Elicitation
- Svetlin Bostandjiev, John O'Donovan and Tobias Hollerer. TasteWeights: A Visual Interactive Hybrid Recommender System
Paper session: Social Recommendation
Monday, September 10, 16:30 - 18:00
- Bart Knijnenburg, Svetlin Bostandjiev, John O'Donovan and Alfred Kobsa. Inspectability and Control in Social Recommenders
- Xiaolan Sha, Daniele Quercia, Matteo Dell'Amico and Pietro Michiardi. Spotting Trends: The wisdom of the few
- Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme and Wolfgang Nejdl. Real-Time Top-N Recommendation on Social Streams
- Xiwang Yang, Harald Steck, Yang Guo and Yong Liu. On Top-k Recommendation using Social Networks
Paper session: Implicit Feedback and User Preference
Tuesday, September 11, 11:00 - 12:30
- Omar Moling, Linas Baltrunas and Francesco Ricci. Optimal Radio Channel Recommendations with Implicit Feedback
- Gabor Takacs and Domonkos Tikk. Alternating Least Squares for Personalized Ranking
- Diyi Yang, Tianqi Chen, Qiuxia Lu and Weinan Zhang. Local Implicit Feedback Mining for Music Recommendation
- Daniel Kluver, Tien T. Nguyen, Michael Ekstrand, Shilad Sen and John Riedl. How Many Bits per Rating?
Paper session: Contextual and Semantically Aware Recommendation
Tuesday, September 11, 14:30 - 16:00
- Sven Strickroth; Niels Pinkwart. High quality recommendations for small communities: the case of a regional parent network
- Asher Levi, Osnat Mokryn, Christophe Diot and Nina Taft. Finding a needle in a haystack of reviews: cold start context based hotel recommender system
- Sindhu Raghavan, Suriya Gunasekar and Joydeep Ghosh. Review Quality Aware Collaborative Filtering
- Negar Hariri, Bamshad Mobasher and Robin Burke. Context-Aware Music Recommendation Based on Latent Topic Sequential Patterns
Paper session: Top-N Recommendation
Wednesday, September 12, 14:30 - 16:00
- Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver and Alan Hanjalic. CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering
- Bruno Pradel, Nicolas Usunier and Patrick Gallinari. Ranking with Non-Random Missing Ratings: Influence of Popularity and Positivity on Evaluation Metrics
- Xia Ning and George KarypisSparse Linear Methods with Side Information for Top-N Recommendations
- Sebastian Schelter, Christoph Boden and Volker Markl. Scalable Similarity-Based Neighborhood Methods with MapReduce
Paper session: Emerging Themes
Wednesday, September 12, 16:30 - 18:00
- Bruno Antunes, Joel Cordeiro and Paulo Gomes. An Approach to Context-Based Recommendation in Software Development
- Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang and Yong Yu. A Semantic Approach to Recommending Text Advertisements for Images
- Diego Saez-Trumper, Daniele Quercia and Jon Crowcroft. Ads and the City: Considering Geographic Distance Goes a Long Way
- Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis and Nina Taft. BlurMe: Inferring and Obfuscating User Demographics Based on Ratings
Wednesday, September 12, 09:00-10:30
Invited talks:
Wednesday, September 12, 11:00-12:45
Invited talks:
Keynote:
Workshops
Sunday 9th September
Thursday 13th September
* The Local Experience and PeMa half-day workshops have been merged into a single full-day workshop (Personalizing the Local Mobile Experience) to be held on Thursday 13th September.